Mohamed Hamlich

425 total citations
35 papers, 237 citations indexed

About

Mohamed Hamlich is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohamed Hamlich has authored 35 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohamed Hamlich's work include Anomaly Detection Techniques and Applications (10 papers), Robotic Path Planning Algorithms (7 papers) and Industrial Vision Systems and Defect Detection (6 papers). Mohamed Hamlich is often cited by papers focused on Anomaly Detection Techniques and Applications (10 papers), Robotic Path Planning Algorithms (7 papers) and Industrial Vision Systems and Defect Detection (6 papers). Mohamed Hamlich collaborates with scholars based in Morocco, France and Spain. Mohamed Hamlich's co-authors include Adeel Ahmad, Mohammed Ramdani, Ladjel Bellatreche, S. Tahiri, Saïd Lazar, Rajae Lakhmiri, Carlos Ordońẽz, Denis Hamad, Ali Siadat and Sebastián Ventura and has published in prestigious journals such as SHILAP Revista de lepidopterología, The International Journal of Advanced Manufacturing Technology and Journal of environmental chemical engineering.

In The Last Decade

Mohamed Hamlich

27 papers receiving 225 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mohamed Hamlich Morocco	10	81	46	45	41	35	35	237
T. Rajasanthosh Kumar India	6	30 0.4×	27 0.6×	53 1.2×	26 0.6×	17 0.5×	11	173
Ren Gao China	8	63 0.8×	87 1.9×	67 1.5×	28 0.7×	38 1.1×	19	302
Zhengwen Huang United Kingdom	9	49 0.6×	41 0.9×	59 1.3×	35 0.9×	25 0.7×	46	212
Yanchun Li China	9	59 0.7×	33 0.7×	49 1.1×	103 2.5×	14 0.4×	36	313
Rajashekarappa Rajashekarappa India	7	39 0.5×	47 1.0×	60 1.3×	35 0.9×	13 0.4×	12	213
Laurenţiu Mihai Ionescu Romania	9	45 0.6×	28 0.6×	167 3.7×	20 0.5×	22 0.6×	82	321
K. Anuradha India	8	59 0.7×	46 1.0×	112 2.5×	15 0.4×	6 0.2×	24	273
Anshul Verma India	10	89 1.1×	84 1.8×	29 0.6×	10 0.2×	19 0.5×	54	263
Imran Khan Pakistan	13	38 0.5×	113 2.5×	251 5.6×	23 0.6×	28 0.8×	32	410

Countries citing papers authored by Mohamed Hamlich

Since Specialization

Citations

This map shows the geographic impact of Mohamed Hamlich's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohamed Hamlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Hamlich more than expected).

Fields of papers citing papers by Mohamed Hamlich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed Hamlich. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohamed Hamlich. The network helps show where Mohamed Hamlich may publish in the future.

Co-authorship network of co-authors of Mohamed Hamlich

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Hamlich. A scholar is included among the top collaborators of Mohamed Hamlich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohamed Hamlich. Mohamed Hamlich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hamlich, Mohamed, et al.. (2024). Network intrusion detection in big datasets using Spark environment and incremental learning. IAES International Journal of Artificial Intelligence. 13(4). 4414–4414. 1 indexed citations

Hamlich, Mohamed, et al.. (2024). A novel approach for locating and hunting dynamic targets in unknown environments. Progress in Artificial Intelligence.

Hamlich, Mohamed, et al.. (2024). Navigation method for autonomous mobile robots based on ROS and multi-robot improved Q-learning. Progress in Artificial Intelligence.

Ventura, Sebastián, et al.. (2024). Exploring the impact of preprocessing and feature extraction on deep learning-based sentiment analysis for big data in apache spark. Progress in Artificial Intelligence.

Al‐Obeidat, Feras, et al.. (2024). Enhancing Sentiment Analysis of Movie Reviews with PySpark. 1255–1260.

Vernier, Éric, et al.. (2024). Toward predicting entrepreneurial activity among Moroccan Entrepreneurs: A machine learning approach. Industry and Higher Education. 39(2). 170–186.

Ahmad, Adeel, et al.. (2023). Autoencoder-kNN meta-model based data characterization approach for an automated selection of AI algorithms. Journal Of Big Data. 10(1). 9 indexed citations

Ahmad, Adeel, et al.. (2023). Version [ 2 . 0 ] - [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data]. SoftwareX. 23. 101444–101444.

Hamlich, Mohamed, Ladjel Bellatreche, Ali Siadat, & Sebastián Ventura. (2022). Smart Applications and Data Analysis. Communications in computer and information science. 7 indexed citations

10.

Hamlich, Mohamed, et al.. (2022). Product defect detection based on convolutional autoencoder and one-class classification. IAES International Journal of Artificial Intelligence. 12(2). 912–912. 4 indexed citations

11.

Ahmad, Adeel, et al.. (2022). Towards big industrial data mining through explainable automated machine learning. The International Journal of Advanced Manufacturing Technology. 120(1-2). 1169–1188. 37 indexed citations

12.

Hamlich, Mohamed, et al.. (2022). A sight on defect detection methods for imbalanced industrial data. SHILAP Revista de lepidopterología. 43. 1012–1012. 1 indexed citations

13.

Ahmad, Adeel, et al.. (2021). AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data. SoftwareX. 17. 100919–100919. 11 indexed citations

14.

Hamlich, Mohamed, et al.. (2020). Smart Applications and Data Analysis. Communications in computer and information science. 12 indexed citations

15.

Hamlich, Mohamed, et al.. (2020). Improvised multi-robot cooperation strategy for hunting a dynamic target. 1–4. 14 indexed citations

16.

Hamlich, Mohamed, et al.. (2020). Machine learning methods against false data injection in smart grid. International Journal of Reasoning-based Intelligent Systems. 12(1). 51–51. 2 indexed citations

17.

Hamlich, Mohamed, et al.. (2019). Short-term load forecasting using machine learning and periodicity decomposition. AIMS energy. 7(3). 382–394. 27 indexed citations

18.

Hamlich, Mohamed, et al.. (2018). A Robust False Data Detection in Smart Grid Using Trees Decision Algorithm. SSRN Electronic Journal. 1 indexed citations

19.

Hamlich, Mohamed, et al.. (2018). A Robust False Data Detection in Smart Grid Using Trees Decision Algorithm. SSRN Electronic Journal. 1 indexed citations

20.

Hamlich, Mohamed & Mohammed Ramdani. (2016). Applying the SAC Algorithm to Extract the Cardiologic Indicators of an Athlete's Level. 5(3). 23–23. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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